scholarly journals Artificial Intelligence In Legal Services: State-of-Art And Users’ Expectations In Russia

2019 ◽  
Author(s):  
Alevtina Repina
Keyword(s):  
Artificial Intelligence ◽  
Legal Services ◽  
State Of Art

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

9. Delivering legal services: practitioners, adjudicators, and legal scholars

2018 ◽  
Author(s):  
Martin Partington
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Legal System ◽  
Private Colleges ◽  
Legal Education ◽  
Legal Profession ◽  
Legal Services ◽  
Legal Practice ◽  
Legal Advice ◽  
The Law

This chapter discusses the role both of those professionally qualified to practise law—solicitors and barristers—and of other groups who provide legal/advice services but who do not have professional legal qualifications. It examines how regulation of legal services providers is changing. It notes new forms of legal practice. It also considers how use of artificial intelligence may change the ways in which legal services are delivered. It reflects on the adjudicators and other dispute resolvers who play a significant role in the working of the legal system. It reflects on the contribution to legal education made by law teachers, in universities and in private colleges, to the formation of the legal profession and to the practice of the law.

Artificial Intelligence and Education

2011 ◽  
pp. 138-143
Author(s):  
Eduardo Sánchez ◽  
Manuel Lama
Keyword(s):  
Artificial Intelligence ◽  
Work Environment ◽  
Learning Strategies ◽  
Learning Processes ◽  
Educational Systems ◽  
Graduate Degrees ◽  
Life Long Learning ◽  
Key Factor ◽  
State Of Art ◽  
Educational Costs

Governments and institutions are facing the new demands of a rapidly changing society. Among many significant trends, some facts should be considered (Silverstein, 2006): (1) the increment of number and type of students; and (2) the limitations imposed by educational costs and course schedules. About the former, the need of a continuous update of knowledge and competences in an evolving work environment requires life-long learning solutions. An increasing number of young adults are returning to classrooms in order to finish their graduate degrees or attend postgraduate programs to achieve an specialization on a certain domain. About the later, due to the emergence of new types of students, budget constraints and schedule conflicts appear. Workers and immigrants, for instance, are relevant groups for which educational costs and job incompatible schedules could be the key factor to register into a course or to give up a program after investing time and effort on it. In order to solve the needs derived from this social context, new educational approaches should be proposed: (1) to improve and extend the online learning courses, which would reduce student costs and allows to cover the educational needs of a higher number of students, and (2) to automate learning processes, then reducing teacher costs and providing a more personalized educational experience anytime, anywhere. As a result of this context, in the last decade an increasing interest on applying computer technologies in the field of Education has been observed. On this regard, the paradigms of the Artificial Intelligence (AI) field are attracting an special attention to solve the issues derived from the introduction of computers as supporting resources of different learning strategies. In this paper we review the state-of-art of the application of Artificial Intelligence techniques in the field of Education, focusing on (1) the most popular educational tools based on AI, and (2) the most relevant AI techniques applied on the development of intelligent educational systems.

Applications of artificial intelligence in the apparel industry: a review

2011 ◽  
Vol 81 (18) ◽  
pp. 1871-1892 ◽  
Author(s):  
ZX Guo ◽  
WK Wong ◽  
SYS Leung ◽  
Min Li
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Apparel Industry ◽  
Apparel Design ◽  
Research Issues ◽  
Chain Management ◽  
Research Challenges ◽  
State Of Art

This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.

AI in Cognitive Radio Networks

2020 ◽  
pp. 192-209
Author(s):  
Preetjot Kaur ◽  
Roopali Garg
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Radio ◽  
Literature Review ◽  
Spectrum Sensing ◽  
Cognitive Radio Networks ◽  
Radio Networks ◽  
Self Awareness ◽  
Self Learning ◽  
State Of Art ◽  
Structure Association

This chapter provides a-state-of-art of artificial intelligence (AI) techniques applied to cognitive radio networks. Cognitive radio (CR) is an empowering innovation for various new opportunities, for example, spectrum sensing, access, markets, and self-organizing networks. Its target is to enable the system to exploit the available resources through self-learning and to adapt itself accordingly to the sensed environment. To understand this plethora of applications, CR researchers often make use of several types of AI techniques. By utilizing AI, the network system can immediately complete self-awareness learning, structure association, and scheduling several tasks. To help researchers obtain a healthier knowledge of AI techniques along with CR, this chapter presents several such implementations that have already been applied. Finally, the literature review of the best accomplishments in applying AI techniques to CRs is presented and classified according to the major techniques of artificial intelligence.

9. Providing legal services: the legal professions

2021 ◽  
pp. 255-290
Author(s):  
Martin Partington
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Legal System ◽  
Private Colleges ◽  
Legal Education ◽  
Legal Profession ◽  
Legal Services ◽  
Legal Practice ◽  
Legal Advice ◽  
The Law

This chapter discusses the role both of those professionally qualified to practise law—solicitors and barristers—and of other groups who provide legal/advice services but who do not have professional legal qualifications. It examines how regulation of legal services providers is changing and the objects of regulations. It notes the development of new forms of legal practice. It also considers how the use of artificial intelligence may change the ways in which legal services are delivered. The chapter reflects on the adjudicators and other dispute resolvers who play a significant role in the working of the legal system, and on the contribution to legal education made by law teachers, in universities and in private colleges, to the formation of the legal profession and to the practice of the law.

9. Delivering legal services: practitioners, adjudicators, and legal scholars

2019 ◽  
pp. 244-278
Author(s):  
Martin Partington
Keyword(s):  
Artificial Intelligence ◽  
Significant Role ◽  
Legal System ◽  
Private Colleges ◽  
Legal Education ◽  
Legal Profession ◽  
Legal Services ◽  
Legal Practice ◽  
Legal Advice ◽  
The Law

This chapter discusses the role both of those professionally qualified to practise law—solicitors and barristers—and of other groups who provide legal/advice services but who do not have professional legal qualifications. It examines how regulation of legal services providers is changing and the objects of regulations. It notes the development of new forms of legal practice. It also considers how the use of artificial intelligence may change the ways in which legal services are delivered. The chapter reflects on the adjudicators and other dispute resolvers who play a significant role in the working of the legal system, and on the contribution to legal education made by law teachers, in universities and in private colleges, to the formation of the legal profession and to the practice of the law.

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